Abstract

Decomposition of
LiDAR full-waveform data can not only enhance
the density and positioning accuracy of a point
cloud, but also provide other useful parameters,
such as pulse width, peak amplitude, and peak
position which are important information for
subsequent processing. Full-waveform data
usually contain some random noises. Traditional
filtering algorithms always cause distortion in
the waveform.
filtering algorithm is based on Mean Shift
method. It can smooth the signal iteratively and
will not cause any distortion in the waveform.
In this paper, an improved
filtering algorithm is proposed, and several
experiments on both simulated waveform data and
real waveform data are implemented to prove the
effectiveness of the proposed
algorithm.